IBM Research - Ireland Internship Project: Automatic predictive maintenance - overview
Predictive maintenance plays an important role in different industries including manufacture, healthcare and transportation. In practice, predictive maintenance is very time demanding and requires skilled data scientists to extract hand-crafted features from sensor data. In this project, an intern student will tackle these problems by automating this process. In particular, the automation for predictive maintenance must work with raw sensor data collected from IoT devices. Sensor data might be erroneous, missing and sampled at different resolutions. The intern student will design algorithms to efficiently search for relevant features to predict failures of a device using state of the art feature and representation learning techniques from the data mining and deep learning fields.
Machine learning, statistics, data mining, time series analysis, deep learning, programming (Python, Spark (optional)).